When it comes to quality assurance in software development, it historically becomes a bottleneck to innovation. Whether it's the challenges of scaling manual testing alongside the code, or automating testing while trying to keep up with the growing complexity of an application, AI-powered test automation can help rapidly increase test coverage, allowing quality to remain a priority while empowering your entire team to be a part of the testing process.

We know all too well the challenges that come with scripted tests: they break frequently, require a lot of time and maintenance, and hinder rapid iteration. When we look at low-code and AI-enabled solutions, we see more robust, resilient tests, and a more inclusive team approach to QA strategy.

Low-code and AI technologies revolutionize QA by simplifying test creation and enhancing efficiency. Low-code platforms make testing accessible to all team members, while AI handles complex scenarios and reduces maintenance with intelligent updates. These innovations break down historical QA barriers, enabling faster, more reliable, and inclusive testing.

Quality as a Team Sport

Collaboration is crucial for keeping pace with DevOps and AI advancements. Making testing accessible to the entire team has enormous benefits, like higher test coverage and improved user experiences. Involving developers, testers, and product managers in the QA process means quality feels like a shared responsibility, not just something left to a small team of test maintainers. The result is that testing becomes more efficient and the delivery process becomes more reliable. According to the 2024 State of Testing in DevOps Report, organizations where collaborative testing is embraced see significant increases in test coverage and defect detection rates. DevOps teams confirm that shared testing responsibilities lead to more robust software and faster delivery cycles across their organization.

Democratizing Quality with Low-Code and AI Test Automation

Low-code platforms are transforming the quality space by enabling users to create and execute tests without specialized technical knowledge or coding skills, breaking down silos between developers, testers, and product managers. When anyone on the team can create, edit, and maintain tests, regardless of their technical skill set, everyone wins. Industry reports from Gartner highlight this trend, with expectations that developers outside of formal IT departments will account for at least 80% of the user base for low-code tools by 2026. And with more than half of companies on board, you can rest assured that keeping up with the competition means getting everyone on your team on the same page. 

AI-powered testing takes this a step further, enhancing efficiency and coverage, creating code snippets for intricate test scenarios, validating complex application behavior using natural language, and ensuring the quality of non-deterministic behaviors that are cropping up in AI-powered features and applications. Building automated tests that include auto-healing also reduces test maintenance efforts by intelligently updating these tests, significantly decreasing the amount of time spent on maintenance. According to mabl’s 2024 Testing in DevOps report, 76% of fully DevOps teams have embraced AI tools, demonstrating the widespread adoption of AI test automation technologies designed to improve software development and QA processes​. 

mabl's Commitment to Empowering Teams

mabl is dedicated to empowering teams with its comprehensive low-code and AI test automation solutions. But what does that actually mean, and what does it look like in action?

  • AI-native technology: AI has been at the core of mabl’s product since day one, with a founding team that included AI scientists who recognized the transformative potential of AI in software testing and built the company around that core concept. By using machine learning, expert systems, and genAI to enhance test automation efficiency, we can deliver faster test creation, ensure the reliability and resilience of automated test suites, and gather insights from test execution to the user experience.
  • Intelligent find strategies: Finding the correct element to test can involve a bit of hunting, and often involves defining an Xpath or CSS selector to identify the element you want to interact with. With mabl, every time your test runs, we are collecting more about the 30+ attributes that define each element, allowing the mabl to identify which attributes are stable, which attributes are likely to change, and how your tests can be automatically updated to account for the most significant changes.
  • Intelligent Waits: Static waits are, well….static. Building them directly into your test run, you know upfront the amount of bloat they cause. By ensuring your application is in the right state when the test is run, mabl eliminates the need for those static waits and tailors the wait time to ensure the application is in an actionable state before moving on to the next step.
  • Intuitive and easy: Aside from the general capabilities of our platform, it’s also the easiest and most intuitive low-code testing solution on the market. From web and mobile to API, performance, and accessibility testing, our platform offers a low-code approach along with full code support for JavaScript, Appium, and Postman scripting, so you can rest assured that every case is supported. This versatility ensures that everyone on your team, regardless of technical expertise, can contribute to the QA process.

mabl's latest generative AI-powered features further complement its low-code approach, bringing real, tangible benefits to testing teams:

  • GenAI Assertions allow users to effortlessly validate complex application behavior—including visual elements, AI-powered features, text translations, and chatbots—by using natural language to describe expected outcomes. This is particularly useful for validating the intent of non-deterministic behaviors of new AI-powered features and apps.
  • GenAI Script Generation helps break down silos between developers, testers, and product managers by enabling anyone on the team to generate code that can handle even the most intricate test scenarios.

These innovations not only streamline the QA process, but enhance collaboration and efficiency across teams as well. These GenAI features are helping lead the way in AI test automation as robust and exciting ways to improve every part of your testing process.

The Future of QA: AI and Low-Code Leading the Way

The future of quality assurance is bright, driven by AI and low-code technologies. These innovations make testing accessible to everyone involved in software development, fostering a collaborative and team-centric approach. By breaking down traditional silos and enabling broader participation in QA, teams can achieve higher test coverage and better user experiences. This inclusive approach ensures that quality is a shared responsibility, making your team’s software delivery process more efficient and reliable.

Ready to transform your QA processes with the latest in AI and low-code technology? Start a free 14-day mabl trial today to experience how mabl can help your team achieve faster, more reliable, and inclusive testing.